Synopsis
This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.
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About the Author
Brian Ripley is the Professor of Applied Statistics at the University of Oxford and a member of the Department of Statistics as well as a Professorial Fellow of St. Peter's College.
From the Back Cover
Known for his hype-free approach to neural networks, Brian Ripley here provides an excellent text on the statistics of pattern classifiers and the application of neural techniques...Ripley's text will be rightly popular with newcomers to the area for its ability to present the mathematics of statistical pattern recognition and neural networks in an accessible format and engaging style.
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Pattern Recognition and Neural Networks
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Cambridge University Press, 2008
ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks
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ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks
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ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks
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Cambridge University Press, 2008
ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks
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Cambridge University Press, 2008
ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks (Paperback)
Published by
Cambridge University Press, Cambridge, 2008
ISBN 10: 0521717701
ISBN 13: 9780521717700
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First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: /~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists. This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from /~ripley/PRbook/ Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521717700
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Paperback. Condition: Brand New. 1st edition. 403 pages. 9.50x7.25x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0521717701
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Pattern Recognition and Neural Networks
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ISBN 10: 0521717701
ISBN 13: 9780521717700
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Pattern Recognition and Neural Networks
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Pattern Recognition and Neural Networks
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ISBN 13: 9780521717700
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